Soft Computing Methods in Architectural Design

İstanbul Teknik Üniversitesi
LEVEL
PhD
TYPE
Course
MODES
-
LANGUAGE
-
ECTS
7.5
PERIOD
05/02/2024 to 17/05/2024

Course Description

Course Description: Basic concepts of soft computing, uncertainty in architecture Modelling uncertainty Fuzzy logic and fuzzy set theory Fuzzy logic approach in architectural design Fuzzy logic applications in architecture Chaotic systems, complexity and applications in architecture Artificial neural networks and learning by back-propagation Artificial neural networks applications in architecture Unsupervised learning, self-organizing map, adaptive resonance theory and applications in architecture Support vector machines and applications in architecture Nature based algorithms and applications in architecture Metaheuristic approach in architecture Particle swarm optimization, local search algorithms and applications in architecture.

Subject area

Digital communications IA electronics

Time format

weekly

Educational-info

Application deadline

29/01/2024

Competences

Doctorate students who successfully pass this course gain knowledge, skills and proficiency in 
the following subjects: 
1. Different mathematical treatments of uncertainty 
2. Fuzzy logic method and its applications in architecture 
3. How to model architectural chaotic systems 
4. The basics of neural networks and their applications in architecture 
5. Support vector machines and their applications in architecture 
6. The use of local search algorithms and simple heuristics in architecture 
7. Which soft computing method is suitable for a design problem embedded in uncertainty, 
heuristics and natural language 

Prerequisites

None

Duration

42 h - 14 weeks

Day of the weeks

 

ECTS

7.5

Validation mode

Term Project, Presentation

Maximum number of students

3

Access to disable

 

Organizer

Partner

İstanbul Teknik Üniversitesi

Faculty

Graduate School

Department

Architectural Design Computing

Contact or registration links